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Regent House

Front Square

Trinity College Dublin

D02 PN40 Dublin 2

Ireland

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V-SENSE Seminar on Deep Learning for Visual Computing.

Artificial Intelligence (AI) has made it from science fiction into everyday life. Machine Learning (ML) enabled breakthroughs due to availability of massive data and computational resources. Deep Learning (DL) in particular disrupted all areas of visual computing (VC), including computer vision/graphics and image/video processing.

The V-SENSE team of Trinity College Dublin adopted this challenge and opportunity, and made a number of significant contributions to the field of DL for VC over the last 2 years, which were published at different venues.

The goal of this seminar is to share this work (published or accepted papers) in combined form with the local academic and industrial communities, and to stimulate further discussion and collaboration.


Format:

  • 2 hours lecture session with short presentations (5-10 min) of all papers

  • Poster session and discussion with individual researchers

Topic include:

  • Deep Normal Estimation

  • AlphaGAN: Natural Image Matting

  • DeepStereoBrush: Interactive Depth Map Creation

  • Egocentric Gesture Recognition

  • SalNet360: Saliency Estimation for 360 VR Images

  • Super-resolution of 360 VR Images

  • Deep Learning for Generating Ambisonics in 360 VR Video

  • STaDA: Neural Style Transfer for Data Augmentation

  • Classification of MoCap Data

  • Deep Lens Distortion Estimation

  • ColorNet: Estimating Colorfulness in Natural Images

  • Automated Image Aesthetics: Photographic Style Classification

  • DeepTMO: HDR Tone Mapping

  • DublinCity: Database of Semantic Labels for LiDAR Point Cloud in City Scale

V-SENSE information:

All publications available here:

https://v-sense.scss.tcd.ie/publications/

More information here https://v-sense.scss.tcd.ie/




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Regent House

Front Square

Trinity College Dublin

D02 PN40 Dublin 2

Ireland

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